Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Research on Hierarchical Interactive Teaching Model Based on Naive Bayesian Classification

Authors
Dongyan Fan
Corresponding Author
Dongyan Fan
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.70How to use a DOI?
Keywords
Naive Bayesian; student classification; hierarchical interactive; teaching model
Abstract
The purpose of this research is improving the current inject classroom teaching mode that ignores individual differences and inefficiency of students. By studying classification algorithm in data mining and applying the classification method based on Naive Bayes algorithm, we designed and implemented scientific classification of students, and draw lessons from stratified and interactive teaching mode, so as to builded a new effective teaching mode. The results show that through scientific classification of students, real-time hierarchical interaction teaching effectively stimulate students' interest in learning, improve cooperation ability, and improve classroom teaching efficiency.
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Proceedings
2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.70How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dongyan Fan
PY  - 2018/02
DA  - 2018/02
TI  - Research on Hierarchical Interactive Teaching Model Based on Naive Bayesian Classification
BT  - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.70
DO  - https://doi.org/10.2991/csece-18.2018.70
ID  - Fan2018/02
ER  -